Conceptio › Archive › PhilArchive
PhilArchive open access

The End of Dollar Hegemony Predicted by Load Minimization Theory: Phase Transition from Ultimate Selfishness to Multipolar Peace

Yoshino, Shiho
PhilArchive · Papers
Open Source ↗
philosophy
Load Minimization Theory (LMT) has demonstrated that extreme egoism—pursuing personal integrity maintenance—forces structural minimization of others' loads and ultimately world peace. This paper extends the theory to national and currency cycles, reinterpreting U.S. dollar hegemony as the "ultimate selfishness." The U.S. enjoys low load via dollar-printing privilege, but exports high load to others (inflation, sanctions), accumulating prediction errors and driving the system toward "heat death" (maximum entropy). Overlaying Ray Dalio's empire cycle theory, current 2026 evidence—BRICS de-dollarization (over 85% local currency settlements, Unit pilot), record central bank gold purchases, Bitcoin exceeding $130k—is framed as a phase transition to low-load crystallization. LMT ethics views attack (currency weaponization) as self-attack, accelerating dollar collapse. True low-load world emerges through boundary-respecting multipolar Win-Win; ultimate selfishness is the key to economic stability. Keywords / Load Minimization Theory (LMT), Currency Hegemony, Empire Cycle, Dollar Hegemony, BRICS De-Dollarization, The Unit, Gold, Bitcoin, Phase Transition, Economic Physics, Accumulated Prediction Error, Heat Death, Ultimate Selfishness, Boundary-Respecting Win-Win, Ray Dalio
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 98861
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive